As the demands for faster, more accurate, and scalable literature reviews rise in life sciences, AI is no longer just a future promise—it’s a proven performance driver. Systematic literature review (SLR) teams, especially in HEOR and medical affairs, are adopting GenAI platforms not just for experimentation but to solve long-standing bottlenecks in screening, extraction, and…
The promise of Artificial Intelligence (AI) in life sciences is undeniable—offering advancements in drug discovery, clinical research, and evidence generation. Yet, many organizations still struggle to implement AI effectively. To better understand these challenges, CapeStart conducted a survey of 104 life science professionals, asking them: What are the top three barriers to success for your…
Across industries, businesses are turning to AI to address pressing challenges, drive innovation, and improve efficiency. According to CapeStart’s Life Science AI Research Report, organizations are increasingly identifying specific areas where AI can deliver the greatest value. By focusing on key business functions, companies aim to unlock new opportunities, streamline operations, and enhance their impact…
Artificial intelligence (AI) has significantly impacted the pharmaceutical business in several ways, from drug discovery and formulation to clinical trials and monitoring for adverse drug reactions. But AI can also help improve pharma manufacturing, distribution, and supply chain management by improving efficiency, safety, quality, and other processes. Here’s how AI can be used to improve…
